Software Architecture with Python: Design and architect highly scalable, robust, clean, and high performance applications in Python

Balachandran Pillai

€18.99 per month

3.5 (6 Ratings)

Paperback Apr 2017 556 pages 1st Edition

Balachandran Pillai

€18.99 per month

3.5 (6 Ratings)

Paperback Apr 2017 556 pages 1st Edition

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Key benefits

Identify design issues and make the necessary adjustments to achieve improved performance
Understand architectural quality attributes from the perspective of a practicing engineer and architect using Python
Learn architectural principles and how they can be used to provide accountability and rationale for architectural decisions

Description

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.

Who is this book for?

This book is for experienced Python developers who want to become architects of enterprise-grade applications or software architects who would like to leverage Python to create effective application blueprints.

What you will learn

Build programs with the right architectural attributes
Use Enterprise Architectural Patterns to solve scalable problems on the Web
Understand design patterns from a Python perspective
Optimize performance testing tools in Python
Deploy code in remote environments or on the Cloud using Python
Secure architecture applications in Python

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Bhuvneshwar Chouksey Nov 06, 2018

#DeepThought#Coding Skills#Lib Overriding#Giving Confidence to create your own module using existing available functionality with extra features#For R&D Guys #Maturity is very HIGH#Papar Quality Ultimate#All d Best guys for creating better Future.

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David Q Mertz May 09, 2017

Anand PIllai touches on a really encyclopedic range of topics with clarity and precision. I'm accustomed to reading books on programming, but this one (as its title fairly indicates) is a different sort of beast. There are definitely very informative chapters on Python programming topics, but the emphasis here is on overall development and engineering practices, and as such serves as a great reference text for software development groups and managers.The many architecture challenges faced by large Python projects are addressed in Anand's book (I confess I've been his colleague and friend for over a decade, hence on first-name terms). It touches on concurrency and parallelism issues, on testing frameworks and best practices, on good documentation practice, on security, and on performance analysis, as well as more topics. It's a long book; but even at such length, any one book must be a guide to the issues that need to be considered rather than in depth documentation of all the relevant tools and libraries. Anand gives you enough to know where to look further, and to evaluate the overall trade-offs among approaches.A challenge in a book like this—which Anand does not wholly overcome—is that any sample code which can be shown on a page or two is automatically somewhat "toy code." As a result, much of the code is somewhat unrealistic to real-world large codebases, and in many cases of necessity represents less than ideal coding choices. Nonetheless, his surrounding text presents well the larger points we are meant to draw from code samples, and these points apply equally, or better, to large projects.

kracekumar May 09, 2017

The book Software Architecture with Python explains various aspects of software architecture like testability, performance, scaling, concurrency and design patterns.The book has ten chapters. The first chapter speaks about different architect roles like solution architect, enterprise architect, technical architect what is the role of an architect and difference between design and architecture. This chapter is theory but worth to know the differences as a software developer.The book covers two lesser spoken topics debugging and code security which I liked. There is very few literature available on debugging. The author has provided real use cases of different debugging tips and tools for Python without picking sides. The book has some good examples on overflow errors in Python.My favorite chapter in the book is 'Writing Applications that scale'. The author explains all the available concurrency primitives like threading, multiprocess, eventlet, twisted, gevent, asyncio, queues, semaphore, locking etc . The author doesn't stop by explaining how to use them but paves the path to figuring out how to profile the code, find out where the bottleneck lies and when to use which concurrency primitives. This chapter is the longest in the book and deluged with examples and insights. The author's approach of using `time` command to measure the performance rather than sticking with wall-clock time gives the developer understanding of where programming is spending most of the time.The book covers vital details on implementing Python Design Patterns and how Python's dynamic nature brings joy while creating the creational, structural and design pattern. The showcased examples teach how Python metaclass works and it's simplicity.The book is indeed a long read and solid one in size and content. Having said that book is pretty hands on and loaded with trivial and non-trivial examples. I won't be surprised if half the book covers the code snippets. The author hasn't shied away from skipping code snippets while explaining any concept. The book introduces a plethora of tools for developing software, and at the same time references required literature and resources.

sh Apr 04, 2018

This book is easy to read and understand, as long as you have an understanding of Python. The example code illustrates the point the author is trying to convey. The main problem, and the reason I deducted 2 stars, is there are a lot of typos. Every 2 or 3 pages, has some sort of typo. There are also some bugs in the code examples (i.e. setting a variable with a value, and then referencing the value instead of the variable name). There is even at least one code example where all of the code is left-justified, so it makes the code technically incorrect without any indentation.

Paul Hoffman Jul 01, 2017

The book is a bit light on usable Python content. It feels like the book started off as "Software Architecture" and then the author plugged in Python at the end.If you're used to well-produced books, this one might set your teeth on edge. The book could use a much better copyedit than what it got, the artwork is amateurish, and the page layout looks like it was chosen to make the book longer.

Software Architecture with Python: Design and architect highly scalable, robust, clean, and high performance applications in Python

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